Nuo Tong
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
- Health Informatics top 10%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 5
- Retinal Imaging and Analysis 2
-
- Advanced Radiotherapy Techniques 4
- Co-authors
- Ke Sheng (8 shared papers)Shuiping Gou (16 shared papers)Shuyuan Yang (5 shared papers)Dan Ruan (3 shared papers)Minsong Cao (4 shared papers)Robert Chin (2 shared papers)X. Sharon Qi (1 shared paper)Tianye Niu (1 shared paper)
- Journals
- Physics in Medicine and Biology (4 papers)Biomedical Signal Processing and Control (3 papers)Medical Physics (3 papers)Physica Medica (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Nuo Tong
17 papers receiving 385 citations
Peers
Comparison fields: 5 of 54
- Radiation 114
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 185
- Otorhinolaryngology 24
- Oral Surgery 29
Countries citing papers authored by Nuo Tong
This map shows the geographic impact of Nuo Tong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nuo Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuo Tong more than expected).
Fields of papers citing papers by Nuo Tong
This network shows the impact of papers produced by Nuo Tong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nuo Tong. The network helps show where Nuo Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Nuo Tong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 174 | |
| 2 | 2019 | 51 | |
| 3 | 2019 | 37 | |
| 4 | 2020 | 36 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 16 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2025 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2016 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Nuo Tong
Nuo Tong is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Computer Vision and Pattern Recognition, Oral Surgery and Orthopedics and Sports Medicine, having authored 20 papers that have together received 391 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Neural Network Applications (4 papers), Medical Imaging and Analysis (4 papers), Advanced Radiotherapy Techniques (4 papers), Retinal Imaging and Analysis (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced X-ray and CT Imaging (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Radiation (114 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (185 citations), Otorhinolaryngology (24 citations) and Oral Surgery (29 citations). Nuo Tong has collaborated with scholars based in China and United States. Frequent co-authors include Ke Sheng, Shuiping Gou, Shuyuan Yang, Dan Ruan, Minsong Cao, Robert Chin, X. Sharon Qi, Tianye Niu, Yao Yao and Xiangrong Zhang. Their work appears in journals such as Physics in Medicine and Biology, Biomedical Signal Processing and Control, Medical Physics, Physica Medica and International Journal of Radiation Oncology*Biology*Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.